Metabolism open最新文献

Background

Justicia schimperiana has been used traditionally for the treatment of different diseases, including, diabetes. Yet, no in vivo study was conducted to substantiate these claims. This study aimed to evaluate the effect of Justicia schimperiana roots extract on blood glucose levels and lipid profiles in streptozotocin-induced diabetic mice.

Methods

Male Swiss albino mice weighing 25–35 g were induced diabetes with 150 mg/kg of STZ. Animals were randomly grouped into six groups of five each. Group I was a normal control, Group II was a Diabetic control, Group III–V were Diabetic Mice treated with the extract (100, 200, and 400 mg/kg) respectively, and Group VI was standard control. The treatments were followed for 14 days. The FBG measurements were done on 0, 7th, and 14th days of treatment. On the 15th day, the mice were anesthetized with diethyl ether; blood samples were collected for the assessment of serum lipid profiles. The antioxidant and α-amylase inhibitory activities of the extract were also investigated in vitro using the DPPH and DNSA assay methods, respectively. The data were entered into EPI DATA version 4.6, exported to IBM, SPSS version 26.0, and analyzed using a one-way ANOVA followed by Tukey's post hoc test. P < 0.05 was considered statistically significant.

Results

The hydromethanolic extract of J. schimperiana roots exhibited no toxicity up to a dose of 2000 mg/kg body weight. In the STZ-induced diabetic mice, the extract reduced blood glucose levels at all tested doses: 100, 200, and 400 mg/kg on the 14th day as compared to diabetic control. The higher dose showed maximum reduction (29.73 %, p < 0.001) on the 14th day of treatment compared to the baseline. There were significant reductions in serum TG, TC, LDL, and a significant increase in body weight and HDL compared to the diabetic control. Besides, good antioxidant and α-amylase inhibitory activity were obtained from the in vitro laboratory tests.

Conclusions

Evidence from our study revealed that the root extract of J. schimperiana has antihyperglycemic and antihyperlipidemic effects in STZ-induced diabetic mice.

Nonalcoholic steatohepatitis (NASH), is the advanced stage of nonalcoholic fatty liver disease (NAFLD) with rapidly rising global prevalence. It is featured with severe hepatocyte apoptosis, inflammation and hepatic lipogenesis. The drugs directly targeting the processes of steatosis, inflammation and fibrosis are currently under clinical investigation. Nevertheless, the long-term ineffectiveness and remarkable adverse effects are well documented, and new concepts are required to tackle with the root causes of NASH progression. We critically assess the recently validated drug targets that regulate the systemic metabolism to ameliorate NASH. Thermogenesis promoted by mitochondrial uncouplers restores systemic energy expenditure. Furthermore, regulation of mitochondrial proteases and proteins that are pivotal for intracellular metabolic homeostasis normalize mitochondrial function. Secreted proteins also improve systemic metabolism, and NASH is ameliorated by agonizing receptors of secreted proteins with small molecules. We analyze the drug design, the advantages and shortcomings of these novel drug candidates. Meanwhile, the structural modification of current NASH therapeutics significantly increased their selectivity, efficacy and safety. Furthermore, the arising CRISPR-Cas9 screen strategy on liver organoids has enabled the identification of new genes that mediate lipid metabolism, which may serve as promising drug targets. In summary, this article discusses the in-depth novel mechanisms and the multidisciplinary approaches, and they provide new horizons to treat NASH.

Background

The purpose of this study was to assess the status of glycaemic control and associated factors among patients with type 2 diabetes mellitus patients.

Methods

This was a hospital-based cross-sectional descriptive study of 326 patients with type 2 diabetes at the Ho Municipal and Teaching Hospitals. The adequate sample size was calculated using Yamane formula N/1 + Ne², with 95 % confidence interval, 5 % margin of error and 10 % non-response rate and a sample size of 326 was determined. Using the sampling frame of patients chart, systematic random sampling technique was used to select the study participants. Glycaemic level was assessed using fasting blood glucose (FBG) readings. A poor glycaemic control was when an average of three months blood glucose level was above 130 mg/dl (7 mm/L). Data was analysed using STATA version 15.0.

Results

Out of 310 patients who participated in the study, more than two-thirds (76.1 %) had poor glycaemic control. Patients who use combination of oral medication and insulin (AOR = 3.67, 95 % CI: 1.34–8.74), patients with diabetes for 16 years or more (AOR = 4.67, 95 % CI: 2.44–9.29), patients who did not practised diabetes self-care activities (AOR = 4.32, 95 % CI: 2.82–9.31) and patients with complications were (AOR = 2.47, 95%CI: 1.45–8.66) more likely to have poor glycaemic control. Age, employment, diabetes education, comorbidities, diabetes self-care activities, treatment type, complications, resident and duration of diabetes were significantly associated with poor glycaemic control.

Conclusion

Based on this findings, teaching and counselling provided by nurses, physicians, dietitians and pharmacists should focus on improving adherence to diabetes self-care activities to attain good glycaemic control.

This study aimed to better understand the relationship between bone-related biomarkers and nutrient stress in the context of metabolic health. We investigated plasma osteocalcin (OC) during an oral glucose challenge and experimental hyperinsulinemia in Type 2 diabetes (T2DM) and lean healthy controls (LHC). Older individuals with obesity and T2DM (n = 9) and young LHCs (n = 9) underwent a 75g oral glucose tolerance test (OGTT) and a 40 mU/m²/min hyperinsulinemic-euglycemic clamp. Plasma undercarboxylated OC (ucOC) and total OC were measured at baseline, 60mins, and 120mins of the OGTT and clamp via ELISA. In addition, plasma alkaline phosphatase (ALP), leptin, adiponectin, Vitamin D and insulin were measured and indices of insulin sensitivity and β-cell function were derived. The T2DM group had lower (p<0.05) ucOC and ucOC:total OC ratio than LHC during both the OGTT and clamp. Further, baseline ucOC was positively correlated to indices of β-cell function and negatively correlated to indices of insulin resistance when both groups were combined (all p<0.05). Suppression of OC observed in T2DM may be related to glucose intolerance and insulin resistance. Similarly, our data suggest that the observed phenotypic differences between groups are likely a product of long-term glucose dysregulation rather than acute flux in glucose or insulin.

Background

Since there are limited studies on the associations between glycemic variability (GV) and sleep quality or physical activity in subjects without diabetes, we evaluated the associations between GV, as assessed by continuous glucose monitoring (CGM), and both sleep quality and daily steps using wearable devices in healthy individuals.

Methods

Forty participants without diabetes were monitored by both an intermittently scanned CGM and a smartwatch-type activity tracker for 2 weeks. The standard deviation (SD) and coefficient of variation (CV) of glucose were evaluated as indices of GV. The activity tracker was used to calculate each participant's average step count per day. We also calculated sleep duration, sleep efficiency, and sleep latency based on data from the activity tracker. Spearman's correlation coefficient was used to assess the association between GV and sleep indices or daily steps. For each participant, periods were divided into quartiles according to step counts throughout the day. We compared mean parameter differences between the periods of lowest quartile and highest quartile (lower 25% and upper 25%).

Results

SD glucose was significantly positively correlated with sleep latency (R = 0.23, P < 0.05). There were no significant correlations among other indices in GV and sleep quality (P > 0.05). SD glucose and CV glucose levels in the upper 25% period of daily steps were lower than those in the lower 25% period in each participant (both, P < 0.01).

Conclusion

In subjects without diabetes, GV evaluated by intermittently scanned CGM was positively associated with the time to fall asleep. Furthermore, GV in the days of larger daily steps was decreased compared to the days of smaller daily steps in each participant.

Aims

Diabetes is a pressing global health issue, demanding innovative strategies for improved treatment. However, traditional care often falls short of patient goals. To address this, digital health solutions, including smartphone apps and remote monitoring, have emerged as crucial in diabetes management. This study aims to assess a comprehensive intervention, combining remote continuous data monitoring (RCDM) with in-clinic care, for enhancing diabetes-related outcomes. Additionally, it seeks to evaluate the effectiveness of the digital RCDM component by comparing adherent and non-adherent patients.

Methods

Conducted in the United Arab Emirates, a retrospective study involved 89 patients primarily on anti-diabetic medications. They were split into two groups based on adherence to RCDM. Over time, significant improvements were observed across various parameters.

Results

Notably, patients exhibited weight loss (−4.0 ± 5.3, p < 0.001), reduced waist circumference (−4.74 ± 7.8, p < 0.001), lowered HbA1c levels (−1.00 ± 1.3, p < 0.001), decreased systolic BP (−3.1 ± 13.1, p = 0.035), and diminished diastolic BP (−3.4 ± 9.9, p = 0.002) annually. Furthermore, patients adhering to the GluCare model demonstrated substantial HbA1c reductions (−1.53 ± 1.5, p < 0.001), improved lipid profiles, notably decreased total Cholesterol (−16.6 ± 50.3, p = 0.034), and lowered LDL levels (−18.65 ± 42.6, p = 0.006).

Conclusions

The intervention model effectively managed T2D patients through a comprehensive approach, yielding notable improvements in HbA1c levels and other outcomes within a year. The study underscores the limitations of traditional care and reliance simply on pharmacotherapy, and emphasizes the need for a hyper-personalized, and continuous approach for T2D management.

Aim

Non-esterified fatty acids (NEFA) are potential targets for prevention of key cardiometabolic diseases of aging, but their population-level correlates remain uncertain. We sought to identify modifiable factors associated with fasting and post-load NEFA levels in older adults.

Methods

We used linear regression to determine the cross-sectional associations of demographic, anthropometric, and lifestyle characteristics and medication use with serum fasting and post-load NEFA concentrations amongst community-dwelling older adults enrolled in the Cardiovascular Health Study (n = 1924).

Results

Fasting NEFA levels generally demonstrated a broader set of determinants, while post-load NEFA were more consistently associated with metabolic factors. Waist circumference and weight were associated with higher fasting and post-load NEFA. Cigarette smoking and caffeine intake were associated with lower levels of both species, and moderate alcohol intake was associated with higher fasting levels whereas greater consumption was associated with lower post-load levels. Unique factors associated with higher fasting NEFA included female sex, higher age, loop and thiazide diuretic use and calcium intake, while factors associated with lower fasting levels included higher educational attainment, beta-blocker use, and protein intake. Hours spent sleeping during the daytime were associated with higher post-load NEFA, while DASH score was associated with lower levels.

Conclusion

Fasting and post-load NEFA have both common and unique modifiable risk factors, including sociodemographics, anthropometric, medications, and diet. Post-load NEFA were particularly sensitive to metabolic factors, while a broader range of determinants were associated with fasting levels. These factors warrant study as targets for lowering levels of NEFA in older adults.